Norway-based creative studio Rebel Unit shows off an incredible work of motion design, as they envision the birth and development of an artificially-intelligent character. The excerpt comes from filmmaker Tonje Hessen-Schei’s documentary iHuman. (Thanks Bjørn!)
THE BEST Ai
The Art Assignment argues that whether it be something as primitive as bones or as advanced as a neural network, there’s always a human touch at the root of all machines used to make art. We like to think of it from the other end: art is unfinished until a human mind ponders it.
What do you get when you take a bunch of old Garfield comic strips and feed them into a machine learning algorithm designed to morph them into a cohesive animation sequence? Nightmares, that’s what. Go figure it was the guy behind Garfield Gameboy’d that tipped us off to Daniel Hanley’s bizarre AI experiment.
Comedian Keaton Patti claims to have fed an AI system 1000 hours of footage from Batman movies (we didn’t know there were that many), and then let its tech produce a new script based on what it learned. Nerd Odyssey posted the very silly result of his efforts, with animation by C4DNerd.
What happens when you load up an artificial intelligence neural network with lyrics to country music’s greatest hits, and then ask it to write its own tune? You end up with this gem, courtesy of Botnik Studios. We have to wonder if this is how Bad Lip Reading creates its song lyrics.
Machine learning tech keeps getting more impressive. OpenAI created two teams of competing agents – one that seeks, and the other that hides. What’s truly amazing is how the self-supervised agents started creating obstacles to improve their chances, despite being given no explicit incentive to use those objects.
Károly of Two Minute Papers explains how Researchers at Google have devised an AI-backed translation tech which maps speech to speech without an intermediate translation to text. What’s really amazing is that it can synthesize the voice of the original speaker into the other language. Listen to some of its voice samples here.
Experimental band Hardcore Anal Hydrogen created a trippy and vibrant music video for their thrash metal track Jean-Pierre, created with the help of artificial intelligence tools like Deep Dream, Neutral Style Transfer, and DeepFlow. Read more about the project here.
Researchers from NVIDIA demonstrate “A Style-Based Generator Architecture for Generative Adversarial Networks,” which is a fancy way of describing artificial intelligence that’s capable of creating human face variants and other objects that never actually existed in real life.
Google’s AI is getting really, really real. Check out this clip from Google I/O ’18 where CEO Sundar Pichai shows off Google Assistant’s future Duplex capability – which can actually call and make an appointment on your behalf, complete with human conversational skills.
For those of you us spend a lot of time in Photoshop, you know how useful the Spot Healing brush is for touching up images. But we’d like to get our hands on this software from NVIDIA researchers who came up with a more sophisticated method using deep learning tech.
Galaga is one of our favorite ’80s arcade games. We still load it up on our MAME cabinet and play it. Now, it turns out our high score is threatened by artificial intelligence. Watch as LearnFun and PlayFun’s AI figures out the game’s tactics, and becomes an expert player.
Modern image recognition technology is getting really good at identifying objects. But engineers at MIT CSAIL show us how simply playing with their textures can confuse the AI into thinking an object is something completely different than what it actually is.
Disproportionately big eyes, a sailor’s outfit, colorful hair… these are but a few of the trademark characteristics of girls in anime. Over at MakeGirlsMoe, computer learning algorithms can generate a nearly infinite set of anime characters, as seen in the video here.
We were totally convinced that this was a promo clip for a science fiction movie, but we’ve been assured that Hanson Robotics is real, and they’ve actually built Sophia, an uncanny self-learning android AI to haunt our nightmares. She sounds infinitely smarter than she looks.
Google’s DeepMind artificial intelligence algorithms recently were used in an experiment where a stick figure learned to walk all by itself. But Andreas Almström couldn’t leave well enough alone, and added appropriately disturbing sound effects to the silent video.
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